Python Course on Topological Methods in Data Analysis

October 26th - 28th, Heidelberg University

In this twelve-hour workshop the participant will be introduced to the main techniques utilized in topological data analysis and their implementation provided by the python package scikit-tda. Introductions to the Mapper algorithm and persistent homology will be complemented by respective hands-on tutorial sessions. The workshop will conclude with an exploratory project of these methods on ‘real data’, which may be provided by the participants.

Participation

The course takes place in the CIP-Pool 3/103, Mathematikon INF 205, Heidelberg. There are up to 20 seats for on-site participation, which will be distributed in advance.

Lectures and tutorials will be accessible on Zoom for online participants.

Registration Deadline: October 11th, 2020

Registration is closed

Schedule

Or Download here: Schedule

Corona Regulations

Please note the following information regarding on-site participation:

On-site participants will need to provide personal data for contact tracking at the beginning of each day.
You will need to wear a mask at all times
(CoronaVO Studienbetrieb und Kunst § 3, Absatz 1, Nummer 4 )
Since we will need to regularly ventilate the room, you might want to bring a sweater.

Official documents:
Conditions of Admission and Participation
Information on the Processing of Personal Data
Information Required from Persons Attending Classes